基于轮胎六分力测试的PAC2002轮胎模型参数辨识方法研究

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英文篇名：Research on PAC2002 tire model parameter identification method based on tire six component force test 作者：程泽木 ; 姜俊昭 ; 蔡金文 ; 卢剑伟 英文作者：Cheng Zemu;Jiang Junzhao;Cai Jinwen;Lu Jianwei;Passenger Car of Research Center, Anhui Jianghuai Automobile Co., Ltd.;School of Automotive and Transportation Engineering, Hefei University of Technology; 关键词：PAC2002轮胎模型 ; 轮胎六分力采集 ; 最小二乘思想 ; 混合优化算法 ; 参数辨识 英文关键词：PAC2002 tire model;;tire six component force collection;;least squares;;Hybrid optimization algorithm;;parameter identification 中文刊名：SXQC 英文刊名：Automobile Applied Technology 机构：安徽江淮汽车集团股份有限公司;合肥工业大学汽车与交通工程学院; 出版日期：2018-08-15 出版单位：汽车实用技术 年：2018 期：No.270 语种：中文; 页：SXQC201815023 页数：4 CN：15 ISSN：61-1394/TH 分类号：69-72

摘要

对目前应用较广泛的PAC2002轮胎模型参数辨识方法进行了系统深入的分析。应用MTS Flat-Trac CT高速轮胎特性试验台对不同工况下的轮胎六分力进行测试,应用最小二乘思想,基于相关测试数据,运用下山单纯形法(Nelder-Mead)、遗传算法与随机值法相结合的混合优化算法进行轮胎模型参数辨识,通过算例验证了算法的有效性。
        The widely used PAC2002 tire model parameter identification method is analyzed systematically. The MTS Flat-Trac CT high-speed tire characteristic test rig is used to test the tire six component force under different working conditions.Using the least square idea and based on the related test data, the tire model parameters are identified by using the downhill simplex method(Nelder-Mead), the genetic algorithm and the random value method. The effectiveness of the algorithm is verified by an example.

引文

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